Smart Music Composer: A Web Tool Based on Transformer Model

Abstract. Using Facebook Research's MusicGen, a transformer-based generative audio model, the Smart Music Composer is an AI-powered web application that uses text inputs to produce high-fidelity music. The system incorporates a responsive HTML/CSS/JavaScript frontend for user interaction and a Flask-based REST API backend with the audiocraft library, hosted over ngrok for real-time accessibility. This system addresses issues like limited user control and static outputs by providing real-time adaptability, wide customization across genres, and an interactive interface, in contrast to standard music production tools. The architecture, implementation, and evaluation of the system are presented in this work, highlighting its potential to enhance creative expression and its contributions to AI-driven music generation. Keywords: Artificial Intelligence, MusicGen, Flask-based REST API, Web application, Audiocraft, Ngrok, and Transformer Model.

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-04-25
DOI
https://doi.org/10.55041/isjem03073
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Music Composer: A Web Tool Based on Transformer Model

Pranav Tiwari
International Scientific Journal of Engineering and Management
Music and Audio Processing
article

Smart Music Composer: A Web Tool Based on Transformer Model

Pranav Tiwari
article en

Abstract

Abstract. Using Facebook Research's MusicGen, a transformer-based generative audio model, the Smart Music Composer is an AI-powered web application that uses text inputs to produce high-fidelity music. The system incorporates a responsive HTML/CSS/JavaScript frontend for user interaction and a Flask-based REST API backend with the audiocraft library, hosted over ngrok for real-time accessibility. This system addresses issues like limited user control and static outputs by providing real-time adaptability, wide customization across genres, and an interactive interface, in contrast to standard music production tools. The architecture, implementation, and evaluation of the system are presented in this work, highlighting its potential to enhance creative expression and its contributions to AI-driven music generation. Keywords: Artificial Intelligence, MusicGen, Flask-based REST API, Web application, Audiocraft, Ngrok, and Transformer Model.

International Scientific Journal of Engineering and ManagementVol. 04(04)
Openalex Percentile: Top 91%
Music and Audio Processing
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Smart Music Composer: A Web Tool Based on Transformer Model — Pranav Tiwari · International Scientific Journal of Engineering and Management (2025) | TGRS Research Map | TGRS